Enterprise digitization and marine economic performance: An empirical study of listed enterprises in China's maritime economy.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 27 04 2024
accepted: 11 09 2024
medline: 31 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

The scale and connectivity of marine resources make them more complex than land resource management. Although digitization has been recognized as an organizational change process that can effectively improve resource efficiency and enhance network resilience, however, gaps remain in establishing the theoretical links between digitization and marine economic performance. Based on a panel fixed-effects model, this study evaluates the interrelationships and potential mechanisms of different firms with data from annual reports of listed firms in the marine economy in the eastern coastal region of China. The results indicate that there is a 'U-shaped' relationship between digitalization and enterprise efficiency in the maritime sector, and significant heterogeneity exists in the characteristics of these enterprises. Notably, firms' technological innovation capability can modulate the 'U-shaped' relationship through the interaction of economies of scale and economies of scope. This paper highlights how digitization mitigates the fragmentation and sectionalization of marine information and addresses the digital overload and productivity paradox that firms may face in the early stages of digitization. The study suggests that institutional diversity shapes resilience. Governments need to promote top-down regulation and industry collaboration, while marine enterprises need to coevolve collaboratively with them through bottom-up internal communication and external interaction to enhance the value chain of marine enterprises.

Identifiants

pubmed: 39475876
doi: 10.1371/journal.pone.0311021
pii: PONE-D-24-17017
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0311021

Informations de copyright

Copyright: © 2024 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Quanjun Zhang (Q)

Guangxi Big Data Research Institute, Nanning, Guangxi, China.

Jian Chen (J)

Department of Geography, University College London, London, England, United Kingdom.

Xiangyu Zhang (X)

Vanbrugh College, University of York, York, England, United Kingdom.

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